DevOps Engineer II (Azure) - w2 candidates
Ideal location would be Yardley, PA (that is their first choice, hybrid from there. Candidates from that location will get first prefence) -
2 round interview process
MUST HAVE THESE SKILLS along with those in JD (focus is definitely on the Azure side, any AWS experience is a plus)

• Very high profile and high visibility assignment, must have great communication skills
• Legit Dev Ops role but not build and release role.
• Someone who had been a data engineer and moved to dev ops is ideal background
• Need to be manipulating data using technologies such as Azure Synapse, Data Bricks, Azure data factor
• DevOps Engineer II

The DevOps Engineer II manages the standards and governance over the management of the code repositories to optimize and secure build and release pipelines, infrastructure, and processes for enterprise software processes. The DevOps Engineer II is engaged in site reliability engineering for the enterprise. The role supports Cenlar’s enterprise-wide Information Factory initiatives and on-going cadence.
ResponsibilitiesDevOps

• Serve as key resource in managing the standards and governance of the DevOps processes
• Resolve increasingly complex problems and develop and implement solutions where expertise is required to interpret against policies, guidelines or processes
• Collaborate, consult, and present technical information to management as it pertains to the DevOps environment
• Typically referred to as a technical resource within the DevOps environment
• Begin to mentor other junior level DevOps Engineers and IT staff members
• Develop, document and communicate data DevOps processes and standards
• Develop and maintain naming standards and conventions as they pertain to Azure resources
• Develop best practices to ensure security standards are followed according to IT standards.
• Configure continuous integration and release Pipelines
• Configure approvals, delivery plans, and boards.
• Ensure pipelines and service connections are secured
• Serve as a key technical resource in implementing standards through automation in build/release pipelines with appropriate approval processes and controls
• Collaborate with cross-functional teams and management on enterprise controls and processes
• Design and create build pipelines that prevents unapproved code from reaching the production environment
• Collaborate with Data Engineers, Data Science, Developers, and other content creators to deliver the value of the artifacts in a controlled manner.
• Identify data needs to implement and maintain continuous integration and continuous deployment (CI/CD) pipelines for data-related code.
• Identify opportunities for improvements and presents recommendations to management team for approval
• Make recommendations on designs, builds, scalability, and security of DevOps infrastructure
• Design, build, test, and deploy changes to existing software environments and enhance the security protocols of the data infrastructure
• Collaborate with Data Engineers and Data Scientists to ensure data quality through cleaning and validation

Security

• Design and implement security measures to protect data and the code repository including encryption and access control
• Create best practices to create Projects and Teams for the Enterprise
• Ensure all projects are secured according to established IT controls and escalate issues to management
• Champion security measures for data, including encryption and access control
• Remain current with industry best practices, tools, and technologies in Data DevOps and ensure junior team members are well-informed of industry trends and changes
• Appropriately identifies and assess risk when business decisions are made, including but not limited to compliance and operational risks.
• Demonstrates consideration for Cenlar’s reputation as well as our clients, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues.

Qualifications

• Bachelor's degree in computer science, data engineering, or a related field or equivalent work experience
• Minimum 5 to 8 years of experience designing, developing, and supporting databases
• Proven experience in data engineering, data management or DevOps
• Strong knowledge and experience with data engineering, data management, or DevOps roles
• Strong knowledge and experience with cloud data platforms such as AWS, Azure, or Google Cloud
• Proficient in programming languages such as Python, Java, or Scala
• Experience and working knowledge of data orchestration tools and frameworks such as Apache Airflow
• Proficient with containerization and orchestration technologies such as Docker and Kubernetes
• Experienced in building pipelines to facilitate the containerization process
• Experience with version control systems (e.g., Git) and CI/CD pipelines
• Proficient problem-solving and troubleshooting skills coupled with the ability to recommend and develop process improvement strategies
• Organizational skills with the ability to guide the development and implementation of multi-faceted data projects
• Skilled and motivated team player with demonstrated success in communicating complex subject matter to all levels of the organization including senior leadership
• Ability to form collaborative relationships with functional teams and setting expectations with business partners
• Ability to act as a role model and mentor to colleagues and junior level staff
• Able to serve as a key technical resource to support technology decisions
• Experienced in developing technical solutions